A comparison of document clustering techniques (2000)
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by
Michael Steinbach
,
George Karypis
,
Vipin Kumar
| Venue: | In KDD Workshop on Text Mining |
| Citations: | 380 - 21 self |
BibTeX
@INPROCEEDINGS{Steinbach00acomparison,
author = {Michael Steinbach and George Karypis and Vipin Kumar},
title = {A comparison of document clustering techniques},
booktitle = {In KDD Workshop on Text Mining},
year = {2000}
}
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Abstract
This paper presents the results of an experimental study of some common document clustering techniques: agglomerative hierarchical clustering and K-means. (We used both a “standard” K-means algorithm and a “bisecting ” K-means algorithm.) Our results indicate that the bisecting K-means technique is better than the standard K-means approach and (somewhat surprisingly) as good or better than the hierarchical approaches that we tested.
